Short Bio: Sheng Li is a Quantitative Foundation Associate Professor of Data Science and an Associate Professor of Computer Science (by courtesy) at the University of Virginia (UVA). He was an Assistant Professor of Data Science at UVA from 2022 to 2023, an Assistant Professor of Computer Science at the University of Georgia from 2018 to 2022 ...

Sheng Li's Homepage. Home (current) News; Publications; Group; Teaching; Activities; About; Reasoning and Knowledge Discovery (RISE) Lab at UVA. Current PhD Students. Daiqing Qi, Fall 2021 - Weili Shi, Fall 2021 - Dongliang Guo, Fall 2021 - Mengxuan Hu, Fall 2022 - …

Sheng Li, Zhixuan Chu: Machine Learning for Causal Inference. Springer, 2023. Sheng Li, Yun Fu: Robust Representations for Data Analytics. Springer, 2017. Book Chapters

Sheng Li, Liuyi Yao, Yaliang Li, Jing Gao and Aidong Zhang: " Representation Learning for Causal Inference”, The AAAI Conference on Artificial Intelligence (AAAI), 2020. Sheng Li and Yun Fu: “ Low-Rank and Sparse Modeling for Data Analytics”, International Joint Conference on Artificial Intelligence (IJCAI), 2016.

09/04/2018, One paper on deep representation learning and treatment effect estimation (with Liuyi Yao, Dr. Yaliang Li, Mengdi Huai, Prof. Jing Gao, Prof. Aidong Zhang) is accepted at NIPS 2018. (Acceptance Rate: 20.8%)

Sheng Li is an Associate Professor of Data Science at the University of Virginia (UVA). He was an Assistant Professor of Data Science at UVA from 2022 to 2023, an Assistant Professor of Computer Science at the University of Georgia from 2018 to 2022, and a Data Scientist at Adobe Research from 2017 to 2018.

Spring 2022, CSCI 3360: Data Science I; STAT/CSCI 4990: Data Science Capstone Course